Abstract
The oil research community has invested much effort into computer aided optimization to enhance oil recovery. While simulation studies have demonstrated the potential of model-based technology to improve industrial standards, the largely unknown geology of subsurface reservoirs limits applications to commercial oil fields. In particular, uncertain model descriptions lead to risks of profit loss. To address the challenges of geological uncertainty, this paper proposes offset risk minimization. As opposed to existing methodologies of the oil literature, the offset approach minimizes risk of profit loss relative to industrial standards. A numerical case study compares the offset approach to a representative selection of current state-of-the-art methodologies. The results show that the offset approach offers the overall lowest risk of profit loss relative to industrial best practices. This suggests that it may be more relevant to consider offset risk minimization than conventional
ensemble-based methods for the purpose of life-cycle production optimization
ensemble-based methods for the purpose of life-cycle production optimization
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 27th European Symposium on Computer Aided Process Engineering |
| Editors | Antonio Espuña, Moisès Graells, Luis Puigjaner |
| Number of pages | 6 |
| Volume | 40 |
| Publisher | Elsevier |
| Publication date | 2017 |
| Edition | 1 |
| ISBN (Print) | 9780444639653 |
| ISBN (Electronic) | 9780444639707 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 27th European Symposium on Computer Aided Process Engineering - Barcelona, Spain Duration: 1 Oct 2017 → 5 Oct 2017 Conference number: 27 https://www.elsevier.com/books/27th-european-symposium-on-computer-aided-process-engineering/espuna/978-0-444-63965-3 |
Conference
| Conference | 27th European Symposium on Computer Aided Process Engineering |
|---|---|
| Number | 27 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 01/10/2017 → 05/10/2017 |
| Internet address |
Keywords
- Optimal control of oil reservoirs
- Risk management
- Stochastic modelling
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